Identification of vehicles in traffic video

Vehicle detection method based on traffic video surveillance is a fundamental element of Intelligent Transportation System (ITS), due to its inclusive vehicle behavior data collection capabilities. In recent years, video processing have been extensively used in traffic management. From video monitoring systems, detection of vehicles can be achieved. Detection of vehicles in frames is done in most of the vehicle detection methods. Therefore, in order to gain the helpful information for traffic management such as real time traffic density and types of vehicles passing through roads future enhancement is needed. Vehicle detection is done using MSER(Maximally Stable Extremal Regions) feature detection method, feature extraction, feature matching and identification of vehicles based on feature vectors.